pypinindia

A Python library to find Indian pincodes and uncover related geographic details easily. It fetches you states when given pincodes, taluks when given States and districts, and get postal regions.

Features

• Optimized Performance: Utilizes lru_cache for efficient singleton instance management, ensuring faster lookups.
• Refactored Codebase: Improved internal code structure with helper methods for better maintainability and reduced duplication.
• Comprehensive Pincode Database: Complete Indian pincode data with office information
• Multiple Lookup Methods: Search by pincode, state, district, or office name
• Modern Python API: Clean, type-hinted interface with both functional and object-oriented approaches
• Command Line Interface: Full-featured CLI tool for pincode operations
• Fast Lookups: Efficient pandas-based data operations
• Error Handling: Comprehensive exception handling with meaningful error messages
• Well Tested: Extensive test suite with high coverage
• Type Hints: Full type annotation support for better IDE experience

Installation

pip install pypinindia

Dependencies

• Python 3.8+
• pandas >= 1.0.0

Optional Dependencies

For development:

pip install pypinindia[dev]

Quick Start

from pypinindia import get_pincode_info, get_state, PincodeData

# Quick pincode lookup
info = get_pincode_info("110001")
print(f"Found {len(info)} offices for pincode 110001")

# Get specific information
state = get_state("110001")
print(f"State: {state}")

# Using PincodeData class
pincode_data = PincodeData()
district = pincode_data.get_district("110001")
print(f"District: {district}")

Usage Examples

Basic Pincode Lookup

from pypinindia import get_pincode_info, get_state, get_district, get_taluk, get_offices

# Get complete information for a pincode
pincode = "110001"
info = get_pincode_info(pincode)

for office in info:
    print(f"Office: {office['officename']}")
    print(f"Type: {office['officetype']}")
    print(f"Delivery: {office['Deliverystatus']}")
    print(f"State: {office['statename']}")
    print(f"District: {office['districtname']}")
    print("---")

# Quick lookups
state = get_state("110001")          # Returns: DELHI
district = get_district("110001")    # Returns: Central Delhi
taluk = get_taluk("110001")         # Returns: New Delhi
offices = get_offices("110001")      # Returns: List of office names

Search Operations

from pypinindia import search_by_state, search_by_district, get_states, get_districts

# Search pincodes by state
delhi_pincodes = search_by_state("Delhi")
print(f"Found {len(delhi_pincodes)} pincodes in Delhi")

# Search pincodes by district
mumbai_pincodes = search_by_district("Mumbai", "Maharashtra")
print(f"Found {len(mumbai_pincodes)} pincodes in Mumbai")

# Get all states
states = get_states()
print(f"Total states/territories: {len(states)}")

# Get districts in a state
districts = get_districts("Tamil Nadu")
print(f"Districts in Tamil Nadu: {len(districts)}")

Using PincodeData Class

from pypinindia import PincodeData

# Create instance
pincode_data = PincodeData()

# Get statistics
stats = pincode_data.get_statistics()
print(f"Total records: {stats['total_records']:,}")
print(f"Unique pincodes: {stats['unique_pincodes']:,}")
print(f"Unique states: {stats['unique_states']}")

# Search by office name
airport_offices = pincode_data.search_by_office("Airport")
print(f"Found {len(airport_offices)} offices with 'Airport' in name")

# Use custom data file
custom_data = PincodeData("/path/to/custom/pincode_data.csv")

Error Handling

from pypinindia import get_state
from pypinindia.exceptions import InvalidPincodeError, DataNotFoundError

try:
    state = get_state("12345")  # Invalid format
except InvalidPincodeError as e:
    print(f"Invalid pincode: {e}")

try:
    state = get_state("999999")  # Doesn't exist
except DataNotFoundError as e:
    print(f"Pincode not found: {e}")

Taluk Implementation

from pypinindia.core import PincodeData  # Adjust import based on your project structure

pincode_data = PincodeData()

# Suggest states & districts to find exact spelling from your data
print("Suggested States:", pincode_data.suggest_states("Tamil"))
print("Suggested Districts in Tamil Nadu:", pincode_data.suggest_districts("Tirup", state_name="Tamil Nadu"))

# Check all Taluks under 'Tiruppur' (this shows exact spelling in your dataset)
district_taluks = pincode_data.data[pincode_data.data['districtname'].str.upper() == "TIRUPPUR"]['taluk'].unique()
print("Taluks under Tiruppur District:", district_taluks)

Command Line Interface

The library includes a comprehensive CLI tool:

# Basic pincode lookup
pypinindia 110001

# Get specific information
pypinindia --state 110001
pypinindia --district 110001
pypinindia --offices 110001

# Search operations
pypinindia --search-state "Delhi"
pypinindia --search-district "Mumbai" --in-state "Maharashtra"

# List operations
pypinindia --list-states
pypinindia --list-districts "Tamil Nadu"

# Statistics
pypinindia --stats

# JSON output
pypinindia 110001 --json

# Verbose output
pypinindia 110001 --verbose

CLI Examples

# Get complete information for a pincode
$ pypinindia 110001
Officename: Connaught Place S.O
Pincode: 110001
Officetype: S.O
Deliverystatus: Delivery
Divisionname: New Delhi Central
Regionname: Delhi
Circlename: Delhi
Taluk: New Delhi
Districtname: Central Delhi
Statename: DELHI

# Get just the state
$ pypinindia --state 110001
DELHI

# Search pincodes in a state
$ pypinindia --search-state "Goa"
403001
403002
403101
...

# Get statistics
$ pypinindia --stats
Total Records: 154,725
Unique Pincodes: 19,300
Unique States: 36
Unique Districts: 640
Unique Offices: 154,725

API Reference

Functions

get_pincode_info(pincode: Union[str, int]) -> List[Dict[str, Any]]

Get complete information for a pincode.

Parameters:

• pincode: The pincode to lookup (string or integer)

Returns: List of dictionaries containing pincode information

get_state(pincode: Union[str, int]) -> str

Get state name for a pincode.

get_district(pincode: Union[str, int]) -> str

Get district name for a pincode.

get_taluk(pincode: Union[str, int]) -> str

Get taluk name for a pincode.

get_offices(pincode: Union[str, int]) -> List[str]

Get office names for a pincode.

search_by_state(state_name: str) -> List[str]

Get all pincodes for a state.

search_by_district(district_name: str, state_name: Optional[str] = None) -> List[str]

Get all pincodes for a district.

get_states() -> List[str]

Get list of all states.

get_districts(state_name: Optional[str] = None) -> List[str]

Get list of all districts, optionally filtered by state.

Classes

PincodeData(data_file: Optional[str] = None)

Main class for pincode data operations.

Methods:

• get_pincode_info(pincode): Get complete pincode information
• get_state(pincode): Get state name
• get_district(pincode): Get district name
• get_taluk(pincode): Get taluk name
• get_offices(pincode): Get office names
• search_by_state(state_name): Search by state
• search_by_district(district_name, state_name=None): Search by district
• search_by_office(office_name): Search by office name (partial match)
• get_states(): Get all states
• get_districts(state_name=None): Get all districts
• get_statistics(): Get dataset statistics

Exceptions

InvalidPincodeError

Raised when an invalid pincode format is provided.

DataNotFoundError

Raised when no data is found for a pincode.

DataLoadError

Raised when the pincode data fails to load.

Data Format

The library expects CSV data with the following columns:

• pincode: 6-digit pincode
• officename: Name of the post office
• officetype: Type of office (S.O, B.O, etc.)
• Deliverystatus: Delivery status (Delivery, Non-Delivery)
• divisionname: Postal division name
• regionname: Postal region name
• circlename: Postal circle name
• taluk: Taluk/Tehsil name
• districtname: District name
• statename: State/Territory name

Development

Setup Development Environment

git clone https://github.com/kactlabs/pypinindia.git
cd pypinindia
pip install -e ".[dev]"

Run Tests

pytest

Run Tests with Coverage

pytest --cov=pypinindia --cov-report=html

Code Formatting

black pypinindia tests examples

Type Checking

mypy pypinindia

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Changelog

v0.1.8

• Fixed: Incremented version to resolve PyPI "File already exists" error.

v0.1.7

• Performance Enhancement: Implemented lru_cache for _get_default_instance to ensure PincodeData is a singleton and loaded only once, optimizing performance for repeated calls to convenience functions.
• Code Refactoring: Refactored PincodeData methods (get_state, get_district, get_taluk, get_offices) to use a common helper method _get_info_field for improved code reusability and maintainability.
• Code Clean-up: Removed redundant global variable _default_pincode_data and duplicate import statements (os, re).
• Type Hinting: Ensured type hint compatibility with mypy by explicitly casting return types where necessary.

v0.1.6

• Complete rewrite with modern Python practices
• Added comprehensive API with both functional and OOP interfaces
• Added full CLI tool with extensive options
• Added comprehensive test suite with high coverage
• Added type hints throughout the codebase
• Added proper exception handling with custom exceptions
• Added search functionality by state, district, and office name
• Added statistics and data exploration features
• Added examples and comprehensive documentation
• Migrated from setup.py to modern pyproject.toml
• Added support for custom data files
• Added JSON output support in CLI
• Performance improvements with pandas-based operations

v0.1.2 (Legacy)

• Basic pincode lookup functionality
• Simple API with limited features

Data Source

The pincode data is sourced from India Post and contains comprehensive information about Indian postal codes, offices, and geographical divisions.

Acknowledgments

• India Post for providing the comprehensive pincode database
• The Python community for excellent libraries like pandas
• Contributors and users who help improve this library

Support

If you encounter any issues or have questions, please:

1. Check the documentation
2. Search existing issues
3. Create a new issue if needed

For general questions, you can also reach out via email: raja.csp@gmail.com